Noja vs Cayón: result 1-2 and analysis
Tercera División RFEF - Group 3Group 3 - 5Kick-off on October 5, 2025 at 03:00 PM (UTC)Campo La Caseta, Noja
Full time
What was the result of Noja vs Cayón?
Cayón won 1-2 on October 5, 2025.
Goalscorers
- 17′611721Noja
- 72′611722Cayón
- 74′611723Cayón (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Noja have 2 wins, 3 draws and 10 defeats; Cayón have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2025 | Montañas Pas(away) | 0-0 | Tercera División RFEF - Group 3 |
| Sep 21, 2025 | Escobedo(home) | 1-1 | Tercera División RFEF - Group 3 |
| Sep 14, 2025 | Vimenor(away) | 0-4 | Tercera División RFEF - Group 3 |
| Sep 7, 2025 | Tropezón(home) | 0-2 | Tercera División RFEF - Group 3 |
| Apr 30, 2022 | Barreda(home) | 1-1 | Tercera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2025 | Castro(home) | 1-1 | Tercera División RFEF - Group 3 |
| Sep 20, 2025 | Atlético Albericia(away) | 0-3 | Tercera División RFEF - Group 3 |
| Sep 13, 2025 | Montañas Pas(away) | 3-1 | Tercera División RFEF - Group 3 |
| Sep 7, 2025 | Escobedo(home) | 0-1 | Tercera División RFEF - Group 3 |
| Jun 22, 2025 | Socuéllamos(home) | 0-2 | Tercera División RFEF - Promotion - Play-offs |
How many goals should we expect?
Noja score 0.6 and concede 2.1 goals per match over their last 15; Cayón score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noja | 0.6 | 2.1 | 3 | 6/15 | 7/15 |
| Cayón | 1.5 | 1.5 | 0 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Cayón | 6 | 3 | 2 | 1 | 5 | 2 | 11 |
A question about Noja vs Cayón?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy